60 data centers disconnected in 82 seconds. The grid didn't lose power — it lost demand. Last July, a single lightning strike in Northern Virginia triggered something grid operators had never planned for. A fault on one transmission line caused six voltage dips in just over a minute. Each dip was within normal range. But the data centers' backup systems counted those dips — and after the third one, they pulled the plug. 1,500 megawatts of demand vanished instantly. That's roughly the entire power consumption of a city like Boston, gone in a blink. Here's the twist most people miss: the grid didn't brown out. It surged. Too much power, not enough demand. Operators had to scramble to shut down gas plants and throttle a nuclear unit just to keep things stable. The protection systems worked exactly as designed. Every single one of them. And that's the problem. Each facility made the "right" local decision. But nobody was watching the collective effect. Sixty buildings all running the same logic, all reacting to the same dips, all disconnecting at once. Our team dug into this event because it reveals something fundamental — rule-based automation without system-wide awareness creates fragility at scale. The smarter each individual node gets, the more dangerous the whole network becomes when they all think alike. This is exactly where physics-constrained AI changes the game. Not chatbots. Not wrappers. Models that understand how electricity actually behaves. What's your take — should data centers be required to coordinate their grid disconnect logic, or is that overreach? #GridResilience #EnergyAI #DataCenters